Murillo F Rodrigues

Murillo F Rodrigues

Computational Biologist

Oregon Health & Science University

Biography

I am interested in understanding what genomic data can tell us about past evolutionary processes and events. My work spans computational methods development to empirical analysis of genetic variation in space and over time. I am an open-source software advocate and a developer of evolutionary simulation tools, such as stdpopsim and tskit.

Currently, I am working with Don Conrad and Jeff Wall on non-human primates genomics and evolution. In my PhD, I worked with Andrew Kern and Peter Ralph on simulation-based inference in population genetics and methods development. In my Master’s, I worked with Rodrigo Cogni on the genetics of Drosophila melanogaster’s adaptation to temperate climate, both in space and over time.

Interests
  • Evolutionary Biology
  • Population Genetics
  • Computational Biology
Education
  • PhD in Biology, 2024

    University of Oregon

  • MSc in Genetics and Evolutionary Biology, 2018

    Universidade de São Paulo

  • BSc in Biology, 2015

    Universidade de São Paulo

Research

Genetics of adaptation
Fruit flies originated in Africa, but have since expanded their range and are now present across the globe. They can be used as a model to study the genetics of climate adaptation.
Genetics of adaptation
Methods development
With the growth in genomic data availability, there is a need for tools that scale better.
Methods development
Landscapes of genomic variation
Correlations between landscapes of diversity of related species carry information about the evolutionary processes that shape genetic variation.
Landscapes of genomic variation

Publications

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(2024). Shared evolutionary processes shape landscapes of genomic variation in the great apes. Genetics.

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(2024). Neofunctionalization driven by positive selection led to the retention of the loqs2 gene encoding an Aedes specific dsRNA binding protein. BMC Biology.

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(2023). Expanding the stdpopsim species catalog, and lessons learned for realistic genome simulations. eLife.

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(2022). Efficient ancestry and mutation simulation with msprime 1.0. Genetics.

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(2021). Clinal and seasonal changes are correlated in Drosophila melanogaster natural populations. Evolution.

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(2021). Genomic Responses to Climate Change: Making the Most of the Drosophila Model. Frontiers in Genetics.

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(2019). Widespread selection and gene flow shape the genomic landscape during a radiation of monkeyflowers. PLOS Biology.

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